Infiltration parameters from surface irrigation advance and run-off data

Article

Gillies, Malcolm H. and Smith, R. J.. 2005. "Infiltration parameters from surface irrigation advance and run-off data." Irrigation Science. 24 (1), pp. 25-35. https://doi.org/10.1007/s00271-005-0004-x
Article Title

Infiltration parameters from surface irrigation advance and run-off data

ERA Journal ID3502
Article CategoryArticle
AuthorsGillies, Malcolm H. (Author) and Smith, R. J. (Author)
Journal TitleIrrigation Science
Journal Citation24 (1), pp. 25-35
Number of Pages11
Year2005
Place of PublicationGermany
ISSN0342-7188
1432-1319
Digital Object Identifier (DOI)https://doi.org/10.1007/s00271-005-0004-x
Web Address (URL)https://link.springer.com/article/10.1007/s00271-005-0004-x
Abstract

A computer model was developed to employ runoff data in the calculation of the infiltration parameters of the modified Kostiakov equation. The model (IPARM) uses a simple volume balance approach to estimate the parameters from commonly collected field data. Several data sets have been used to verify the procedure. Infiltration parameters were calculated using both advance and runoff data combined and advance data alone. Simulations of each example using SIRMOD were compared to the measured data to identify the possible benefits of the procedure. The inclusion of runoff did not compromise the ability to reproduce the advance curve however the simulations are more capable of reproducing the measured runoff rates and volumes and therefore offer better estimations of the total volume applied to the soil (in one case a reduction in error of the total infiltration from 22% to 1%). This procedure will be of most benefit where the infiltration parameters are expected to represent soil hydraulic characteristics for times greater than the completion of the advance phase. Further analysis has shown that the infiltration parameters are more sensitive to runoff than the advance highlighting the requirement for accurate field measurement and a weighting factor between the advance and runoff errors.

Keywordsrunoff data, infiltration parameters, surface irrigation, Kostiakov equation, volume balance, simulation
ANZSRC Field of Research 2020300201. Agricultural hydrology
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Byline AffiliationsNational Centre for Engineering in Agriculture
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Galvin, Geordie, Lowe, Scott and Smith, Rod. 2004. "The validation of a simple Gaussian dispersion model for determining odour emission rates from area sources." Developments in Chemical Engineering and Mineral Processing. 12 (5/6), pp. 545-558. https://doi.org/10.1002/apj.5500120509
Quantification of odours from piggery effluent ponds using an electronic nose and an artificial neural network
Sohn, Jae Ho, Smith, Rod, Yoong, Ernest, Leis, John W. and Galvin, Geordie. 2003. "Quantification of odours from piggery effluent ponds using an electronic nose and an artificial neural network." Biosystems Engineering. 86 (4), pp. 399-410. https://doi.org/10.1016/j.biosystemseng.2003.09.003
An evaluation of a novel wind tunnel design applied to the measurement of the kinetics of odour emissions from piggery effluent
Sohn, Jae Ho, Smith, Rod, Yoong, Ernest, Hudson, Neale A. and Kim, Tae I.. 2004. "An evaluation of a novel wind tunnel design applied to the measurement of the kinetics of odour emissions from piggery effluent." Water Science and Technology. 50 (4), pp. 49-55.
Managing spatial and temporal variability in irrigated agriculture through adaptive control
Smith, R. J., Raine, Steven R., McCarthy, Alison and Hancock, Nigel. 2009. "Managing spatial and temporal variability in irrigated agriculture through adaptive control." Australian Journal of Multi-Disciplinary Engineering. 7 (1), pp. 79-90.
Evaluating the performance of bay irrigation in the GMID
Smith, R. J., Gillies, Malcolm H., Shanahan, Matthew, Campbell, B. and Williamson, Bill. 2009. "Evaluating the performance of bay irrigation in the GMID." Irrigation Australia 2009: Irrigation Australia Irrigation and Drainage Conference: Irrigation Today - Meeting the Challenge. Swan Hill, Australia 18 - 21 Oct 2009 Sydney, New South Wales.
Bankless channel irrigation systems: irrigation performance assessment
Grabham, Michael, Hornbuckle, John, Raine, Steven R. and Smith, Rod. 2009. "Bankless channel irrigation systems: irrigation performance assessment." Irrigation Australia 2009: Irrigation Australia Irrigation and Drainage Conference: Irrigation Today - Meeting the Challenge. Swan Hill, Australia 18 - 21 Oct 2009 Sydney, Australia.
Characterisation of the micro-tube emitters used in a novel micro-sprinkler
de Almeida, Ceres Duarte Guedes Cabral, Botrel, Tarlei Arriel and Smith, Rod J.. 2009. "Characterisation of the micro-tube emitters used in a novel micro-sprinkler." Irrigation Science. 27 (3), pp. 209-214. https://doi.org/10.1007/s00271-008-0135-y
Empirical functions for dependent variables in cutback furrow irrigation
Navabian, M., Liaghat, A. M., Smith, R. J. and Abbasi, F.. 2009. "Empirical functions for dependent variables in cutback furrow irrigation." Irrigation Science. 27 (3), pp. 215-222. https://doi.org/10.1007/s00271-008-0138-8
Measurement and management of furrow irrigation at the field scale
Gillies, Malcolm H., Smith, R. J. and Raine, Steven R.. 2008. "Measurement and management of furrow irrigation at the field scale." Irrigation Australia 2008: Irrigation Association of Australia National Conference and Exhibition: Share the Water, Share the Benefits. Melbourne, Australia 20 - 22 May 2008
Managing the effect of infiltration variability on the performance of surface irrigation
Gillies, Malcolm H.. 2008. Managing the effect of infiltration variability on the performance of surface irrigation. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
Toward a simple real-time control system for efficient management of furrow irrigation
Khatri, Kanya L. and Smith, R. J.. 2007. "Toward a simple real-time control system for efficient management of furrow irrigation." Irrigation and Drainage. 56 (4), pp. 463-475. https://doi.org/10.1002/ird.319
Managing spatial and temporal variability in irrigated agriculture through adaptive control
Smith, R. J., Raine, Steven R., McCarthy, Alison and Hancock, Nigel. 2007. "Managing spatial and temporal variability in irrigated agriculture through adaptive control." Banhazi, T. M. and Saunders, C. (ed.) SEAg 2007: Agriculture and Engineering - Challenge Today, Technology Tomorrow. Adelaide, Australia 24 - 26 Sep 2007 Australia.
Errors in predicting furrow irrigation performance using single measures of infiltration
Langat, Philip K., Raine, Steven R. and Smith, R. J.. 2007. "Errors in predicting furrow irrigation performance using single measures of infiltration." Irrigation Science. 25 (4), pp. 339-349. https://doi.org/10.1007/s00271-006-0049-5
A decision support model for travelling gun irrigation machines
Smith, Rod, Gillies, Malcolm H., Newell, Geoffrey and Foley, Joseph P.. 2007. "A decision support model for travelling gun irrigation machines." CIGR 2006: Agricultural Engineering for a Better World. Bonn, Germany 03 - 07 Sep 2006
Real time control of surface irrigation: managing infiltration variations and enhancing furrow irrigation performance
Khatri, K. L., Smith, R. J. and Raine, Steven R.. 2006. "Real time control of surface irrigation: managing infiltration variations and enhancing furrow irrigation performance." Irrigation Australia 2006: Irrigation Association of Australia National Conference and Exhibition. Brisbane, Australia 09 - 11 May 2006 Brisbane.
Is it possible to extract infiltration rates for variable inflow furrow irrigation?
Gillies, Malcolm H., Smith, R. J. and Raine, Steven R.. 2006. "Is it possible to extract infiltration rates for variable inflow furrow irrigation?" Irrigation Australia 2006: Irrigation Association of Australia National Conference and Exhibition. Brisbane, Australia 09 - 11 May 2006 Hornsby, NSW, Australia.
Process studies of odour emissions from effluent ponds using machine-based odour measurement
Sohn, Jae Ho, Smith, R. J. and Yoong, Ernest. 2006. "Process studies of odour emissions from effluent ponds using machine-based odour measurement." Atmospheric Environment. 40 (7), pp. 1230-1241. https://doi.org/10.1016/j.atmosenv.2005.10.035
Evaluation of methods for determining infiltration parameters from irrigation advance data
Khatri, K. L. and Smith, R. J.. 2005. "Evaluation of methods for determining infiltration parameters from irrigation advance data." Irrigation and Drainage. 54 (4), pp. 467-482. https://doi.org/10.1002/ird.198